Update README.md

add trust remote code

README.md

@@ -30,7 +30,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
 # Load model and tokenizer
-model = AutoModelForSequenceClassification.from_pretrained("chungpt2123/esg-scoring")
+model = AutoModelForSequenceClassification.from_pretrained("chungpt2123/esg-scoring", trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained("chungpt2123/esg-scoring")
 
 # Example usage
@@ -68,9 +68,6 @@ The model achieves strong performance on ESG scoring tasks across multiple langu
 - Performance may vary on domain-specific or technical content
 - Best performance on texts similar to training data distribution
 
-## Citation
-
-If you use this model, please cite:
 
 ```bibtex
 @misc{esg_scoring_model,